Do other interpreters such as `ipython` run slowly?
If you run `strace julia`, it will print out system calls as they execute.
Are there certain syscalls that are taking a long amount of time? E.g.
does it freeze for a long time on an lstat(), or a read(), or something?
-E
On Wed, Aug 26, 2015
One of the most useful Matlab commands to me is `format short e`, which
displays all real numbers using the e format and just 4 decimals. Is there
such a thing in Julia? Or a plan for such a thing?
After Julia is loaded, run the following command and tell us what it prints
out; it will give us the same information as what Yichao is talking about.
filter( x - contains(x, sys.$(Sys.dlext)), Sys.dllist())
-E
On Wed, Aug 26, 2015 at 11:43 AM, Chris 7hunderstr...@gmail.com wrote:
I have a
I found my answer. In Julia 0.4 you have access to the doc macro:
help? @doc
Documentation
≡≡≡
Functions, methods and types can be documented by placing a string before the
definition:
# The Foo Function
`foo(x)`: Foo the living hell out of `x`.
foo(x) = ...
https://github.com/JuliaLang/julia/issues/7357
On Wed, Aug 26, 2015 at 2:27 PM Yichao Yu yyc1...@gmail.com wrote:
On Wed, Aug 26, 2015 at 12:33 PM, Matt Bauman mbau...@gmail.com wrote:
Yes, this can be surprising. Look at `methods(u)`:
julia methods(u)
# 5 methods for generic function
On Wednesday, August 26, 2015 at 2:07:44 PM UTC-4, Juan Carlos Cuevas
Bautista wrote:
I am plotting some data in Julia and I am using PyPlot. The issue is that
the plots
that I am getting are kind of messy. When I use the command plot, it gives
the next error:
libpng error: bad
Does `top` show that Julia is taking up a huge amount of CPU or memory?
-E
On Wed, Aug 26, 2015 at 11:49 AM, Chris 7hunderstr...@gmail.com wrote:
That gives /home/cbinz/julia/usr/bin/../lib/julia/sys.so
On Wednesday, August 26, 2015 at 2:47:06 PM UTC-4, Elliot Saba wrote:
After Julia is
On Wed, Aug 26, 2015 at 12:44 PM, Sisyphuss zhengwend...@gmail.com wrote:
Of course, I know how to write the valid code.
But in the interactive environment, if someone accidentally defines the
promote_rule in the non-base way, he will find himself in an
incomprehensible situation.
There's
In particular, unless you have special requirements, you can just put a
bare string in front of a method definition to document it. Let us know how
it works and if you have an problems or confusion – feedback from brand new
users of features is very helpful!
On Wed, Aug 26, 2015 at 2:56 PM,
On Wed, Aug 26, 2015 at 12:33 PM, Matt Bauman mbau...@gmail.com wrote:
Yes, this can be surprising. Look at `methods(u)`:
julia methods(u)
# 5 methods for generic function u:
u(c::Float64) at none:7
u(c::Float64, h::Float64) at none:3
u(c::Float64, h::Float64, b) at none:3
u(c::Float64,
On Wed, Aug 26, 2015 at 2:20 PM, Chris 7hunderstr...@gmail.com wrote:
ipython is not installed, but `python` seems to run just fine.
Nothing jumps out at me as taking very long with `strace julia`.
Maybe do a lsof/fuser on the sys.so (should be in /usr/lib/julia/ or
similar directory) to see
I have a sys.so in ~/julia/usr/lib/julia/, but I'm not sure how to run
fuser or lsof to do what you're asking.
On Wednesday, August 26, 2015 at 2:32:32 PM UTC-4, Yichao Yu wrote:
On Wed, Aug 26, 2015 at 2:20 PM, Chris 7hunde...@gmail.com javascript:
wrote:
ipython is not installed, but
It is easy to get Java from Javascript, just drop the script.
Integrating the two -- naah; if it were, node.js would have an older
sibling ''java.js
On Wednesday, August 26, 2015 at 1:17:06 PM UTC-4, Stefan Karpinski wrote:
Is JavaScript actually easy to integrate with Java?
On Aug 26,
I suspect it can be if you use Nashorn.
On sandboxing, we could potentially look into experimenting with PNaCl as a
backend. Or use existing sandboxes that exist across all browsers by
compiling to js with Emscripten, or WebAssembly as that develops.
On Wednesday, August 26, 2015 at 10:17:06
Of course, I know how to write the valid code.
But in the interactive environment, if someone accidentally defines the
promote_rule in the non-base way, he will find himself in an
incomprehensible situation.
On Wednesday, August 26, 2015 at 4:15:59 PM UTC+2, Luthaf wrote:
By doing
Learning Compose.
Trying the code below to rotate images.
The rotate function seems to work on the line-drawn V but not on the
colored checker box.
How do I fix this so the rotate function works for drawings like the
checker box?
Some outputs attached.
Thank you for your advice.
Nope, not NFS-mounted.
On Wednesday, August 26, 2015 at 2:07:14 PM UTC-4, John Gibson wrote:
Run df ~. That'll tell you where the file system containing your home
directory is mounted. If it says nfs:/..., it's NFS-mounted.
John
On Wednesday, August 26, 2015 at 11:12:48 AM UTC-4, Chris
ipython is not installed, but `python` seems to run just fine.
Nothing jumps out at me as taking very long with `strace julia`.
On Wednesday, August 26, 2015 at 2:14:48 PM UTC-4, Elliot Saba wrote:
Do other interpreters such as `ipython` run slowly?
If you run `strace julia`, it will print
In this context, sandboxing means restricting the privileges allowed to
untrusted code: https://en.wikipedia.org/wiki/Sandbox_(computer_security)
Sandboxing is what allows one to run arbitrary JavaScript code (from
wherever) in your web browser without generally needing to worry about
what that
That gives /home/cbinz/julia/usr/bin/../lib/julia/sys.so
On Wednesday, August 26, 2015 at 2:47:06 PM UTC-4, Elliot Saba wrote:
After Julia is loaded, run the following command and tell us what it
prints out; it will give us the same information as what Yichao is talking
about.
filter( x -
+1 for allowing URLs in the REQUIRE file
I have the same issue, packages are on a company network and cannot be
registered. Will try out Declarative Packages but it would be nice to
have the built-in solution, as I don't see it conflicting with how REQUIRE
works currently.
On Saturday, July
On Wednesday, August 26, 2015 at 1:17:06 PM UTC-4, Stefan Karpinski wrote:
Is JavaScript actually easy to integrate with Java?
Java has always come bundled with a Javascript interpreter (first Rhino,
now Nashorn). It can be used like this:
*package sample1;*
*import
Hi Steven,
No, it works perfectly in Python.
2015-08-26 15:07 GMT-04:00 Steven G. Johnson stevenj@gmail.com:
On Wednesday, August 26, 2015 at 2:07:44 PM UTC-4, Juan Carlos Cuevas
Bautista wrote:
I am plotting some data in Julia and I am using PyPlot. The issue is that
the plots
that
Joke's on NetScape.
On Wed, Aug 26, 2015 at 4:06 PM, Fengyang Wang fengyangwa...@gmail.com
wrote:
On Wednesday, August 26, 2015 at 1:17:06 PM UTC-4, Stefan Karpinski wrote:
Is JavaScript actually easy to integrate with Java?
Java has always come bundled with a Javascript interpreter (first
While julia is opening, it's pegged at around 99% CPU usage. It drops to
something very low after startup, though.
On Wednesday, August 26, 2015 at 4:02:35 PM UTC-4, Elliot Saba wrote:
Does `top` show that Julia is taking up a huge amount of CPU or memory?
-E
On Wed, Aug 26, 2015 at 11:49
Josh,
While that would indeed work, I think your function isn't type stable. I
think Simon's answer above is the way to go.
Daniel
Thank you for your response! This has been very helpful.
It's a 32-CPU machine, and they're all Intel(R) Xeon(R) CPU E5-4650 0 @
2.70GHz. There's about a half terabyte of RAM. It's running Debian 7.0
(wheezy).
I don't believe I'm running from an NFS mount, although I'm not entirely
sure how to rule that out.
top appears to be the largest user of
If you open a process manager such as `top`, is there some other process
that is hogging your CPU/RAM/disk?
-E
On Wed, Aug 26, 2015 at 9:49 AM, Isaiah Norton isaiah.nor...@gmail.com
wrote:
Any ideas?
Are you running Julia from an NFS mount? (not a known problem, just a
guess)
On Wed, Aug
As a note to anyone who looks into this (which may be me), this only
happens at the top level. If I put your code inside a function, it indents
fine.
On Wednesday, August 26, 2015 at 11:05:56 AM UTC-4, Thomas Covert wrote:
If I write a multiline statement in emacs with julia-mode.el (or
You can always just make the arguments give all the parameters:
type EulerAngles{T : Number, Seq}
angles::Vector{T}
end
EulerAngles{T}(seq, angles::Vector{T}) = EulerAngles{T,seq}(angles)
julia EulerAngles(321, [pi,pi/2,0])
You've defined a lot of methods here in shorthand notation:
u(c::Float64, h::Float64, b, a)
u(c::Float64, h::Float64, b) = u(c::Float64, h::Float64, b, a)
u(c::Float64, h::Float64) = u(c::Float64, h::Float64, b)
u(c::Float64, a)
u(c::Float64) = u(c::Float64, a)
If you look at methods(u), you'll
Does such a sandbox exist?
1. No
Is there a portable way to install a portable Julia
2. The installation process is platform-specific. The generic linux
binaries should work on any reasonably recent linux. The Windows installer
can be unpackaged and used like a portable binary. Not sure
Hi Everybody,
I am plotting some data in Julia and I am using PyPlot. The issue is that
the plots
that I am getting are kind of messy. When I use the command plot, it gives
the next error:
libpng error: bad parameters to zlib
However I am not using or saving the figure like a png. I was
Daniel,
Don't use the third choice -- one of the great things about working with
Julia is that parametric or conditioning aspects of a multifaceted design
can be actual parameters or typed in such a way that details of
sub-specification become avenues of dispatch.
You mention it would be
Any ideas?
Are you running Julia from an NFS mount? (not a known problem, just a
guess)
On Wed, Aug 26, 2015 at 11:12 AM, Chris 7hunderstr...@gmail.com wrote:
Hello,
I recently got access to a new Linux machine, and I've been trying to run
some of my code there. I tried downloading a
Is JavaScript actually easy to integrate with Java?
On Aug 26, 2015, at 12:21 PM, Fengyang Wang fengyangwa...@gmail.com wrote:
Hi,
I learned Julia recently, and I must say it has been incredible for
scientific work. I am in love with the clean, modern syntax. Props to the
developers
Not sure what you mean by julia sandbox, but there
is https://www.juliabox.org/ if you want to try out julia without having to
install on your machine.
On Wednesday, August 26, 2015 at 11:23:29 AM UTC-5, Fengyang Wang wrote:
Hi,
I learned Julia recently, and I must say it has been
Run df ~. That'll tell you where the file system containing your home
directory is mounted. If it says nfs:/..., it's NFS-mounted.
John
On Wednesday, August 26, 2015 at 11:12:48 AM UTC-4, Chris wrote:
Hello,
I recently got access to a new Linux machine, and I've been trying to run
some
How can I get documentation for my functions in my package to show up when
someone uses the command line help functionality
like:
help? sort
INFO: Loading help data...
Base.sort(v, [alg=algorithm,] [by=transform,] [lt=comparison,] [rev=
false])
Variant of sort! that returns a sorted copy
Yes, this can be surprising. Look at `methods(u)`:
julia methods(u)
# 5 methods for generic function u:
u(c::Float64) at none:7
u(c::Float64, h::Float64) at none:3
u(c::Float64, h::Float64, b) at none:3
u(c::Float64, h::Float64, b, a) at none:3
u(c::Float64, a) at none:7
When you call `u(2.)`,
I'm defining a function with two methods as follows:
a = 2.
b = 0.8
function u(c::Float64, h::Float64, b=b, a=a)
((c/(h^b))^(1-a))/(1-a)
end
function u(c::Float64, a=a)
c^(1-a)/(1-a)
end
However, when calling u(2.), the result is -0.87..., which should be the
result of the function
Hi,
I learned Julia recently, and I must say it has been incredible for
scientific work. I am in love with the clean, modern syntax. Props to the
developers for their tireless efforts to improve this language even further!
Historically, Lua and Javascript have been the most common choices for
I agree with you. It dispatches twice.
On Wednesday, August 26, 2015 at 6:33:43 PM UTC+2, Matt Bauman wrote:
Yes, this can be surprising. Look at `methods(u)`:
julia methods(u)
# 5 methods for generic function u:
u(c::Float64) at none:7
u(c::Float64, h::Float64) at none:3
u(c::Float64,
Can you tell a little bit more about your machine?
Which CPU? How much RAM? Which Linux version?
Uwe
Am Mittwoch, 26. August 2015 17:12:48 UTC+2 schrieb Chris:
Hello,
I recently got access to a new Linux machine, and I've been trying to run
some of my code there. I tried downloading a
Can you do @time RandomDevice() and see how long that takes?
On Wed, Aug 26, 2015 at 4:40 PM, Chris 7hunderstr...@gmail.com wrote:
I assume you don't want to know the actual output (if you do let me know),
but hexdump /dev/random gives a new line very slowly, perhaps once every
8 seconds or
I need to build a command as a string to pass to an external program (GMT),
so I started to build it this way
julia ps = V:\example_23.ps;
julia name=Rome;
julia pscoast -Rg -JH90/9i -Glightgreen -Sblue -A1000 -Dc -Bg30
-B+t\Distances from * name * to the World\ -K
Random guess... What happens when you try to read from /dev/random?
On Aug 26, 2015, at 4:15 PM, Chris 7hunderstr...@gmail.com wrote:
While julia is opening, it's pegged at around 99% CPU usage. It drops to
something very low after startup, though.
On Wednesday, August 26, 2015 at
Thank you Kristoffer. This helps a lot.
On Sunday, August 23, 2015 at 12:46:04 PM UTC-7, Kristoffer Carlsson wrote:
What's good with Julia is that if something is if a library or something
is slow it is usually easy to tweak it to get your performance.
For example, if we only focus on the
Yes, quaternions are much cleaner -- I use them.
On Wednesday, August 26, 2015 at 5:20:33 AM UTC-4, Tim Holy wrote:
Only partially relevant, but my general reaction to Euler angles is: don't
do
it, because of gimbal lock. https://github.com/forio/Quaternions.jl and
First of all I would recommend FixedSizeArrays or NTuples for this, as they
can be faster in some cases and you can restrict them to 3 dimensions.
Then I'd follow Tim Holy's advice.
Concerning your problem, you can do this on 0.4:
call{T : Number, SEQ}(::Type{EulerAngles{SEQ}, a::Vector{T}} =
I never used the AD packages myself. But if you have a function that
implements F(y), then AD should give you a new function that implements
DF(y). Then evaluate that at each data point. From the data alone you
cannot do it of course.
Christoph
It would be awesome to get this under AD. I'm not sure I follow with how to
get DF(y) at each output point. Can you provide a quick example (made up data
is totally fine)? Thanks
// Spencer
On August 25, 2015 at 4:15:28 PM EDT, Christoph Ortner
christophortn...@gmail.com wrote:In this case
After learning that (y, F(y)) = (y, y’) is the output from an ODE solver,
if the ODE is regular, then the solution ought to be smooth and standard
spline interpolation (B-splines or Hermite since you have y') should give
you very good results. Have you tried Interpolations.jl as Tim
Holy
Hello,
I am using PyPlot and I cannot figure out how to change the aspect ratio of
a plot. I googled for some answers and I found a thread from Python users
about aspect ratios in Matplotlib:
http://stackoverflow.com/questions/7965743/how-can-i-set-the-aspect-ratio-in-matplotlib
I am trying
By doing
promote_rule() = 1
And then
Base.promote_rule{T}(::Type{A{T}},::Type{C{T}}) = C{T}
You are defining two different functions. Only the second one is used by
the promotion system.
The valid code is
abstract B
type A:B
end
type C:B
end
Le mercredi 26 août 2015 16:02:37 UTC+2, Sisyphuss a écrit :
Try just `similar(M,(2,2))`.
Thanks, that works.
Simon's example:
type EulerAngles{SEQ,T}
a::Vector{T}
end
call{T : Number, SEQ}(::Type{EulerAngles{SEQ}}, a::Vector{T}) =
EulerAngles{SEQ, T}(a)
julia EulerAngles{123}([10.0,20.0,30.0])
EulerAngles{123,Float64}([10.0,20.0,30.0])
On Wednesday, August 26, 2015 at 8:56:55 AM UTC-4, Simon
My code has a large set of available 'cells' (user defined type). At each
iteration we add some cells to the available cells set, iterate over it,
find the 'best' cell, and delete it from the available cells set (every
cell is added and deleted from available set exactly once, I am not worried
Hi! I got an error during sparse Cholesky computation related Mixed Models.
So I ran test for MixedModels and I got the same error as below:
/usr/bin/julia: symbol lookup error:
/usr/bin/../lib/x86_64-linux-gnu/julia/libcholmod.so: undefined symbol:
dpotrf_
I found very similar issue for
Try just `similar(M,(2,2))`.
On Wednesday, August 26, 2015 at 3:37:40 PM UTC+2, harven wrote:
Hi, I have an array and I want to create a similar array with same element
type but different dimensions (say, 2x2).
julia similar(M, ?, (2,2))
Is there a way to skip the second optional
Only partially relevant, but my general reaction to Euler angles is: don't do
it, because of gimbal lock. https://github.com/forio/Quaternions.jl and
https://github.com/timholy/AffineTransforms.jl
have algorithms that are not vulnerable to this problem.
Take this advice with a grain of salt, of
Hi, I have an array and I want to create a similar array with same element
type but different dimensions (say, 2x2).
julia similar(M, ?, (2,2))
Is there a way to skip the second optional argument, which should be
infered from M, and just provide the third?
I have a similar question with
I think `similar` is implemented by optional variable instead of keyword
variable. But I'm not sure.
Anyway, you can use `eltype(M)` for the second argument.
On Wednesday, August 26, 2015 at 3:37:40 PM UTC+2, harven wrote:
Hi, I have an array and I want to create a similar array with same
Hi,
This could be a chance to battle-test ForwardDiff.jl's new API. It takes
exact derivatives and we're trying to make it easy to use. If your discrete
grid is granular enough, ForwardDiff.jl should work great. Just keep in
mind that ForwardDiff is so accurate (i.e., to machine-epsilon
On 26 August 2015 at 16:46, Steven G. Johnson stevenj@gmail.com wrote:
The answers in the stackoverflow thread you linked work for me, e.g.
w, h = plt[:figaspect](0.5)
figure(figsize=(w,h))
plot(rand(10))
I often have trouble converting from Python+Matplotlib to Julia+PyPlot.
Even
https://github.com/stevengj/PyPlot.jl#exported-functions
Hello,
I recently got access to a new Linux machine, and I've been trying to run
some of my code there. I tried downloading a binary and using that, but
after I saw the performance issues, I built Julia from source, and the
issues persist. First:
julia @time versioninfo()
Julia Version
On Wed, Aug 26, 2015 at 5:32 AM, Michael Swarbrick Jones
swarbrickjo...@googlemail.com wrote:
My code has a large set of available 'cells' (user defined type). At each
iteration we add some cells to the available cells set, iterate over it,
find the 'best' cell, and delete it from the
If I write a multiline statement in emacs with julia-mode.el (or ESS-julia
for that matter), emacs seems to want to indent the line AFTER a multi-line
statement is complete. For example,
What I'd like to see:
y1 = f(x,
z)
y2 = g(x)
What I actually see:
y1 = f(x,
z)
FWIW, I always think the fig/ax syntax aligns best with Python, e.g.
fig, ax = PyPlot.subplots(2,2, ...)
ax[1,1][:plot](..., linestyle = :, label = ...)
ax[1,1][:legend](loc=best)
ax[1,2][:hist](..., alpha = 0.5, label = ...)
fig[:title](Some title)
with this syntax, you can more or less convert
On Wed, Aug 26, 2015 at 11:05 AM, Thomas Covert thom.cov...@gmail.com wrote:
If I write a multiline statement in emacs with julia-mode.el (or ESS-julia
for that matter), emacs seems to want to indent the line AFTER a multi-line
statement is complete. For example,
What I'd like to see:
y1 =
In other words, it won't fix?
On Wednesday, August 26, 2015 at 6:41:36 AM UTC+2, Stefan Karpinski wrote:
Don't do the first non-base definition.
On Wed, Aug 26, 2015 at 12:27 AM, Sisyphuss zhengw...@gmail.com
javascript: wrote:
This modification works, but it fails sometimes:
abstract
I assume you don't want to know the actual output (if you do let me know),
but hexdump /dev/random gives a new line very slowly, perhaps once every 8
seconds or so.
On Wednesday, August 26, 2015 at 4:33:49 PM UTC-4, Stefan Karpinski wrote:
Random guess... What happens when you try to read
ERROR: RandomDevice not defined
On Wednesday, August 26, 2015 at 6:13:12 PM UTC-4, Stefan Karpinski wrote:
Can you do @time RandomDevice() and see how long that takes?
On Wed, Aug 26, 2015 at 4:40 PM, Chris 7hunde...@gmail.com javascript:
wrote:
I assume you don't want to know the actual
I'd like to announce Strada https://github.com/pcmoritz/Strada.jl, a
Julia library around the Deep Learning framework Caffe
http://caffe.berkeleyvision.org/ being developed at Berkeley. For some of
the features, have a look at the documentation
http://stradajl.readthedocs.org/en/latest/. I
\e is the shorthand for typing the escape character, you will probably
want to escape the backslash like so: `\\`. It looks like you may be trying
to create a command string, but you've used string delimiters () instead
of cmd delimiters (`). Julia always uses the entire literal string (include
\e is the shorthand for typing the escape character, you will probably
want to escape the backslash like so: `\\`.
Yes, it was a wrong copy past. Other option is to declare the variable as
It looks like you may be trying to create a command string, but you've
used string delimiters
On Wednesday, August 26, 2015 at 8:15:18 PM UTC-4, Chris wrote:
ERROR: RandomDevice not defined
On Wednesday, August 26, 2015 at 6:13:12 PM UTC-4, Stefan Karpinski wrote:
Can you do @time RandomDevice() and see how long that takes?
RandomDevice() is only in Julia 0.4.
In 0.4 you can do this using callable types, which is a convenient way of
encapsulating parameters. That would let you use the syntax u(2.) .
Alternatively, why not just drop the default parameters and pass them
explicitly? The way I did this recently was to make use of the type system
and
Hi, Deb
You noted that you are using Julia-0.3.7. Unless you are required to use
0.3.7, your first step should be installing the current version.
you can get it at http://julialang.org/downloads/
There are a couple of IDE efforts underway. They do help, but there is no
RStudio-like
On 26 August 2015 at 17:14, Nils Gudat nils.gu...@gmail.com wrote:
FWIW, I always think the fig/ax syntax aligns best with Python, e.g.
fig, ax = PyPlot.subplots(2,2, ...)
ax[1,1][:plot](..., linestyle = :, label = ...)
ax[1,1][:legend](loc=best)
ax[1,2][:hist](..., alpha = 0.5, label =
Please open this as an issue on github
On Wed, Aug 26, 2015 at 10:41 AM Yonghee Lee drago...@gmail.com wrote:
Hi! I got an error during sparse Cholesky computation related Mixed
Models. So I ran test for MixedModels and I got the same error as below:
/usr/bin/julia: symbol lookup error:
Thank you all for your responses!
Jeffrey -- Sorry that my wording wasn't clear. I don't want to extract the
sequence from the type, I just want to be able to dispatch based on the
sequence. My end goal is to have a function that computes a rotation
tensor from an Euler sequence, and I would
thanks for sharing your efforts
On Wednesday, August 26, 2015 at 8:53:13 PM UTC-4, Philipp Moritz wrote:
I'd like to announce Strada https://github.com/pcmoritz/Strada.jl, a
Julia library around the Deep Learning framework Caffe
http://caffe.berkeleyvision.org/ being developed at Berkeley.
Hi Steven,
Pyhton returns
matplotlib.get_backend()
u'Qt4Agg
Julia Returns
julia PyPlot.matplotlib[:get_backend]()
Qt4Agg
2015-08-26 22:17 GMT-04:00 Steven G. Johnson stevenj@gmail.com:
On Wednesday, August 26, 2015 at 3:50:09 PM UTC-4, Juan Carlos Cuevas
Bautista wrote:
Hi Steven,
Hi,
Thanks in advance.
I am new to Julia and using Julia-0.3.7 on Windows 8.
I am looking for an IDE for Julia (like RStudio in R).
Once again, thank you very much for the time you have given..
Regards,
Deb
Maybe the trivial solution is the best solution here:
julia string = some text here
some text here
julia string = string * some more text here
some text here some more text here
julia
On Thursday, August 27, 2015 at 2:36:17 AM UTC+3, J Luis wrote:
\e is the shorthand for typing the
From here: http://julialang.org/downloads/
http://julialang.org/downloads/
- The Juno http://www.junolab.org/ integrated development environment
(IDE). http://www.junolab.org/
On Thursday, August 27, 2015 at 6:12:22 AM UTC+3, Deb Midya wrote:
Hi,
Thanks in advance.
I am new to
On Wednesday, August 26, 2015 at 3:50:09 PM UTC-4, Juan Carlos Cuevas
Bautista wrote:
Hi Steven,
No, it works perfectly in Python.
Is it using a different backend in Python? What does
matplotlib.get_backend() return in Python vs.
PyPlot.matplotlib[:get_backend]()?
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